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ORCIDAkshaj Kumar Veldanda
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Journal Articles
- 2024
[j4]Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg:
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access. Trans. Mach. Learn. Res. 2024 (2024)- 2023
- [j3]Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg:
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale with MinDiff Loss. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j2]Hao Fu
, Akshaj Kumar Veldanda, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
A Feature-Based On-Line Detector to Remove Adversarial-Backdoors by Iterative Demarcation. IEEE Access 10: 5545-5558 (2022) - [j1]Mingsheng Yin, Akshaj Kumar Veldanda, Amee Trivedi, Jeff Zhang, Kai Pfeiffer, Yaqi Hu, Siddharth Garg, Elza Erkip, Ludovic Righetti, Sundeep Rangan:
Millimeter Wave Wireless Assisted Robot Navigation With Link State Classification. IEEE Open J. Commun. Soc. 3: 493-507 (2022)
Conference and Workshop Papers
- 2023
- [c3]Kai Pfeiffer, Yuze Jia, Mingsheng Yin, Akshaj Kumar Veldanda, Yaqi Hu, Amee Trivedi, Jeff Zhang, Siddharth Garg, Elza Erkip, Sundeep Rangan, Ludovic Righetti:
Path Planning Under Uncertainty to Localize mmWave Sources. ICRA 2023: 3461-3467 - 2021
- [c2]Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg:
NNoculation: Catching BadNets in the Wild. AISec@CCS 2021: 49-60 - 2020
- [c1]Zahra Ghodsi, Akshaj Kumar Veldanda, Brandon Reagen, Siddharth Garg:
CryptoNAS: Private Inference on a ReLU Budget. NeurIPS 2020
Informal and Other Publications
- 2024
- [i11]Akshaj Kumar Veldanda, Shi-Xiong Zhang, Anirban Das, Supriyo Chakraborty, Stephen Rawls, Sambit Sahu, Milind R. Naphade:
LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models. CoRR abs/2409.13054 (2024) - 2023
- [i10]Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg:
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access. CoRR abs/2302.01385 (2023) - [i9]Kai Pfeiffer, Yuze Jia, Mingsheng Yin, Akshaj Kumar Veldanda, Yaqi Hu, Amee Trivedi, Jeff Zhang, Siddharth Garg, Elza Erkip, Sundeep Rangan, Ludovic Righetti:
Path Planning Under Uncertainty to Localize mmWave Sources. CoRR abs/2303.03739 (2023) - [i8]Swagnik Roychoudhury, Akshaj Kumar Veldanda:
Application of BadNets in Spam Filters. CoRR abs/2307.09649 (2023) - [i7]Akshaj Kumar Veldanda, Fabian Grob, Shailja Thakur, Hammond Pearce, Benjamin Tan, Ramesh Karri, Siddharth Garg:
Are Emily and Greg Still More Employable than Lakisha and Jamal? Investigating Algorithmic Hiring Bias in the Era of ChatGPT. CoRR abs/2310.05135 (2023) - 2022
- [i6]Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg:
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale. CoRR abs/2206.14853 (2022) - 2021
- [i5]Mingsheng Yin, Akshaj Kumar Veldanda, Amee Trivedi, Jeff Zhang, Kai Pfeiffer, Yaqi Hu, Siddharth Garg, Elza Erkip, Ludovic Righetti, Sundeep Rangan:
Millimeter Wave Wireless-Assisted Robotic Navigation with Link State Classification. CoRR abs/2110.14789 (2021) - 2020
- [i4]Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg:
NNoculation: Broad Spectrum and Targeted Treatment of Backdoored DNNs. CoRR abs/2002.08313 (2020) - [i3]Zahra Ghodsi, Akshaj Kumar Veldanda, Brandon Reagen, Siddharth Garg:
CryptoNAS: Private Inference on a ReLU Budget. CoRR abs/2006.08733 (2020) - [i2]Akshaj Kumar Veldanda, Siddharth Garg:
On Evaluating Neural Network Backdoor Defenses. CoRR abs/2010.12186 (2020) - [i1]Hao Fu, Akshaj Kumar Veldanda, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection. CoRR abs/2011.02526 (2020)
Coauthor Index
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